A New Algorithm for Multispectral Image Fusion

Abstract

Image fusion is important algorithm in many remote sensing applications like visualization, identification of the boundary of the object, object segmentation, object analysis. Most widely used IHS method preserves the spatial information but distorts the spectral information during fusion process. IHS method is also limited to the three bands. In this paper, the MS based difference with respect to its mean image is used to reconstruct the fused image. In this the mean of the MS band is replaced by the mean of the PAN image. In this way both spatial and spectral information are taken into account in the process of image fusion. We have considered actual dataset of IKONOS four band image for our experiment. It has been observed from the simulation results that the proposed algorithm preserves both spatial and spectral information better than compared standard algorithm and it also significantly improves the universal quality index which measures the visual quality of fused image.